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reinforcement learning

4122 papers

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Also known as

RLVR HARL GRPO RL PPO REINFORCE RFT DRL RL NULL LQR RLHF

Co-occurring keywords

large language model (12755) policy learning (699) markov decision process (788) policy gradient (518) policy optimization (630) deep reinforcement learning (903) multi-agent system (1743) imitation learning (741) regret bound (1918) language model (4573)

Papers

Curriculum Learning for Vision-and-Language Navigation NIPS 2021
Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms NIPS 2021
Provably Efficient Reinforcement Learning with Linear Function Approximation under Adaptivity Constraints NIPS 2021
Heuristic-Guided Reinforcement Learning NIPS 2021
Decision Transformer: Reinforcement Learning via Sequence Modeling NIPS 2021
Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL NIPS 2021
Neural Algorithmic Reasoners are Implicit Planners NIPS 2021
Reinforcement Learning with State Observation Costs in Action-Contingent Noiselessly Observable Markov Decision Processes NIPS 2021
Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi NIPS 2021
Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection NIPS 2021
Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting NIPS 2021
Dynamic Bottleneck for Robust Self-Supervised Exploration NIPS 2021
Risk-Aware Transfer in Reinforcement Learning using Successor Features NIPS 2021
Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains NIPS 2021
Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning NIPS 2021
No-Press Diplomacy from Scratch NIPS 2021
Reinforcement learning for optimization of variational quantum circuit architectures NIPS 2021
Behavior From the Void: Unsupervised Active Pre-Training NIPS 2021
Autonomous Reinforcement Learning via Subgoal Curricula NIPS 2021
Agnostic Reinforcement Learning with Low-Rank MDPs and Rich Observations NIPS 2021
Functional Regularization for Reinforcement Learning via Learned Fourier Features NIPS 2021
Provably efficient multi-task reinforcement learning with model transfer NIPS 2021
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration NIPS 2021
Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators NIPS 2021
Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation NIPS 2021